A system includes a processor operatively coupled to memory. The processor performs operations that include obtaining electrical measurements of a power system. The processor determines a scaled energy value of a first set of the electrical measurements that are scaled with respect to a second set of electrical measurements. The processor determines that a potential ringdown event occurred by comparing the scaled energy value to a threshold energy value. The processor determines that the potential ringdown event is a confirmed ringdown event by comparing a scaled error value to a threshold error value. The processor generates one or more mode estimates from the confirmed ringdown event.

A system includes a central analysis station and a display. The central analysis station may be configured to receive a unique identifier and performance data from each of a plurality of solar panels. The central analysis station may detect a problem in at least one of the plurality of solar panels based on the performance data. A display may be configured to display a status of the at least one of the plurality of solar panels based on the detected problem.

A system includes a central analysis station and a display. The central analysis station may be configured to receive a unique identifier and performance data from each of a plurality of solar panels. The central analysis station may detect a problem in at least one of the plurality of solar panels based on the performance data. A display may be configured to display a status of the at least one of the plurality of solar panels based on the detected problem.

Methods for use in a measurement system. Some embodiments comprise at least one sensor unit and a control unit, wherein the at least one sensor unit is configured to detect a physical quantity and to form a sensor data signal. The method comprises, at the control unit, receiving a data receive signal from the sensor unit, and interpreting the data receive signal to be one of at least the sensor data signal and another data signal, wherein the interpreting is based on an attribute information intrinsic to the data receive signal. Furthermore, there is a sensor unit for use in measurement data acquisition, an apparatus configured to control a measurement data acquisition, a measurement system for use in measurement data acquisition, and a medium incorporating a sequence of operation steps that, when executed, perform a method for use in a measurement system for data acquisition.

A power calculation apparatus calculating an amount of power suppliable to a power system by an energy source connectable, at a connection point, to the power system and capable of power generation and power storing, the power calculation apparatus includes: a microprocessor and a memory connected to the microprocessor, wherein the microprocessor is configured to perform: specifying a position of the connection point of the energy source in connection with the power system; acquiring a capacity information indicating a power generation capacity or a remaining storage capacity of the energy source; and calculating an amount of power suppliable by the energy source to the power system in an area within a predetermined range including the connection point, based on the capacity information and the position of the connection point.

A power calculation apparatus calculating an amount of power suppliable to a power system by an energy source connectable, at a connection point, to the power system and capable of power generation and power storing, the power calculation apparatus includes: a microprocessor and a memory connected to the microprocessor, wherein the microprocessor is configured to perform: specifying a position of the connection point of the energy source in connection with the power system; acquiring a capacity information indicating a power generation capacity or a remaining storage capacity of the energy source; and calculating an amount of power suppliable by the energy source to the power system in an area within a predetermined range including the connection point, based on the capacity information and the position of the connection point.

The accuracy of photovoltaic simulation modeling is predicated upon the selection of a type of solar resource data appropriate to the form of simulation desired. Photovoltaic power simulation requires irradiance data. Photovoltaic energy simulation requires normalized irradiation data. Normalized irradiation is not always available, such as in photovoltaic plant installations where only point measurements of irradiance are sporadically collected or even entirely absent. Normalized irradiation can be estimated through several methodologies, including assuming that normalized irradiation simply equals irradiance, directly estimating normalized irradiation, applying linear interpolation to irradiance, applying linear interpolation to clearness index values, and empirically deriving irradiance weights. The normalized irradiation can then be used to forecast photovoltaic fleet energy production.

An inverter energy system supplies power to a site. The inverter energy system comprises a number of solar strings, each solar string including a solar panel(s) as a renewable energy source and an inverter. The inverter energy system is connected to a mains power supply (grid) and to a site load (sub circuits). The forward or reverse power flow into or out of the mains power supply is monitored at a monitoring point at the site. A rate limit is set for power flow into and/or or out of the mains power supply. The supply of power from the inverter energy system is controlled so that the power flow into or out of the mains power supply is within the set rate limit.

A power prediction system includes a battery removably mounted on an electric power device using electric power, a charging device configured to charge the battery, and a power prediction device configured to predict an amount of electric power capable of being supplied by the charging device to outside of the charging device through machine learning on the basis of usage information indicating at least one of the usage state and the usage environment of the charging device.

A power prediction system includes a battery removably mounted on an electric power device using electric power, a charging device configured to charge the battery, and a power prediction device configured to predict an amount of electric power capable of being supplied by the charging device to outside of the charging device through machine learning on the basis of usage information indicating at least one of the usage state and the usage environment of the charging device.